Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

20 September 2021

Papers citing "Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation"

38 / 88 papers shown

Title
Sparse Multi-Object Render-and-Compare Florian Langer Ignas Budvytis Roberto Cipolla 3DPC 17 2 0 17 Oct 2023
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong Anand Bhattad Yu-Xiong Wang David Forsyth MDE 26 2 0 28 Sep 2023
FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation Songlin Wei Jiazhao Zhang Yang Wang Ruben Verborgh Hao Su He Wang AI4CE 20 3 0 28 Sep 2023
Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement Sheng Ye Yubin Hu Matthieu Lin Yu-Hui Wen Wang Zhao Y. Liu Wenping Wang 19 3 0 14 Sep 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli Cody Reading Silvia Sellán Alec Jacobson Andrea Tagliasacchi BDL UQCV 21 59 0 06 Sep 2023
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction Yuting Xiao Jingwei Xu Zehao Yu Shenghua Gao 29 12 0 29 Aug 2023
O $^2$ -Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model Yubin Hu Sheng Ye Wang Zhao Matthieu Lin Yuze He Yu-Hui Wen Ying He Y. Liu DiffM 23 4 0 18 Aug 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 38 5 0 25 Jul 2023
Convex Decomposition of Indoor Scenes Vaibhav Vavilala David A. Forsyth 16 6 0 09 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 16 3 0 01 Jul 2023
Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation Jiaye Wu Sanjoy Chowdhury Hariharmano Shanmugaraja David Jacobs Soumyadip Sengupta 24 7 0 27 Jun 2023
Differentiable Display Photometric Stereo Seokjun Choi S. Yoon Giljoo Nam Seungyong Lee Seung-Hwan Baek 27 1 0 23 Jun 2023
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM Erik Sandström Kevin Ta Luc Van Gool Martin R. Oswald 37 18 0 19 Jun 2023
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration Shengjie Zhu Abhinav Kumar Masa Hu Xiaoming Liu MDE 52 17 0 19 Jun 2023
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion Haowen Wang Zhengping Che Yufan Yang Ming L. Wang Zhiyuan Xu Xiuquan Qiao Mengshi Qi Feifei Feng Jian Tang 3DV MDE 40 4 0 06 Jun 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Vikrant Rangnekar Uddeshya Upadhyay Zeynep Akata Biplab Banerjee 26 4 0 27 May 2023
iDisc: Internal Discretization for Monocular Depth Estimation Luigi Piccinelli Christos Sakaridis F. I. F. Richard Yu 16 81 0 13 Apr 2023
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes A. Patil Supriya Gadi Patil Manyi Li Matthew Fisher Manolis Savva Haotong Zhang 3DV 25 17 0 06 Apr 2023
Unbiased Scene Graph Generation in Videos Sayak Nag Kyle Min Subarna Tripathi A. Roy-Chowdhury 21 29 0 03 Apr 2023
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images Hugo Bertiche Argila Niloy J. Mitra K. Kulkarni C. Huang Tuanfeng Y. Wang Meysam Madadi Sergio Escalera Duygu Ceylan 8 16 0 15 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu Linxi Fan Edward Johns Zhiding Yu Chaowei Xiao Anima Anandkumar VLM MLLM 34 21 0 04 Mar 2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction Shubhankar Borse Debasmit Das Hyojin Park H. Cai Risheek Garrepalli Fatih Porikli 32 9 0 02 Mar 2023
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models Gyeongnyeon Kim Wooseok Jang Gyuseong Lee Susung Hong Junyoung Seo Seung Wook Kim VLM DiffM 19 11 0 17 Dec 2022
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding Jay Bhanushali Manivannan Muniyandi Praneeth Chakravarthula 3DPC ViT 14 2 0 09 Dec 2022
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction Yusen Wang Zong-Si Li Yu Jiang Kaixuan Zhou Tuo Cao Yanping Fu Chunxia Xiao 3DV 23 9 0 13 Oct 2022
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty Gwangbin Bae Ignas Budvytis R. Cipolla 6 26 0 07 Oct 2022
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image Florian Langer Gwangbin Bae Ignas Budvytis R. Cipolla 3DPC 45 10 0 03 Oct 2022
MonoGraspNet: 6-DoF Grasping with a Single RGB Image Guangyao Zhai Dianye Huang Shun-cheng Wu Hyunjun Jung Yan Di Fabian Manhardt F. Tombari Nassir Navab Benjamin Busam 24 35 0 26 Sep 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 21 22 0 14 Jul 2022
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors Jie-Chao Wang Peng Wang Xiaoxiao Long Christian Theobalt Taku Komura Lingjie Liu Wenping Wang 3DV 14 142 0 27 Jun 2022
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks Jiasen Lu Christopher Clark Rowan Zellers Roozbeh Mottaghi Aniruddha Kembhavi ObjD VLM MLLM 45 392 0 17 Jun 2022
GRIT: General Robust Image Task Benchmark Tanmay Gupta Ryan Marten Aniruddha Kembhavi Derek Hoiem VLM OOD ObjD 6 31 0 28 Apr 2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification Jianxiong Shen Antonio Agudo Francesc Moreno-Noguer Adria Ruiz AI4CE 12 55 0 18 Mar 2022
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation Bruno Sauvalle A. de La Fortelle 13 11 0 15 Dec 2021
What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction Nilesh Kulkarni Justin Johnson David Fouhey 3DV 25 7 0 08 Dec 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015
Designing Deep Networks for Surface Normal Estimation X. Wang David Fouhey Abhinav Gupta 3DV SSL 154 353 0 18 Nov 2014